Basic statistics calculations

Data Overview

data <- read.csv("HW2 .csv")
head(data)

##    score age biosex classrnk
## 1 327.52  18      1        1
## 2 308.28  19      1        2
## 3 308.71  19      1        2
## 4 301.56  19      0        2
## 5 315.53  20      0        2
## 6 298.79  18      0        3

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1. Calculate the mean and the standard deviation for the Age variable

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2.If you add another 18 year old to the sample, what happens with the mean? Why would this happen?

When adding a value below the current mean, it pulls the average down toward the new value, resulting in a lower overall mean.

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3. Determine if females (coded as 0) or males (coded as 1) have a higher mean Score

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4. Determine if Sophomores (coded as 2) or Juniors (coded as 3) have a higher variance on the Score variable

Sophomores classrnk = 2

Juniors (ClassRnk = 3) - Scores

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5. What is the standard deviation for the group that was higher in question 4?

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